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The predictors of outcome in patients that require management in intensive care units: A narrative review

Cilt: 6 Sayı: 3 14 Ekim 2024
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The predictors of outcome in patients that require management in intensive care units: A narrative review

Öz

Intensive care units stand as the frontline battlegrounds where medical warriors combat the most critical illnesses and injuries. Within the labyrinth of intensive care units, where every moment teeters between life and death, prognostic markers emerge as beacons of guidance amidst uncertainty. In recent years, researchers have identified several novel mortality predictors in the intensive care population. In this review, we aimed to examine the clinical and laboratory markers that have been proposed in recent years to evaluate prognosis in the intensive care unit population and to review the literature on this topic. Management of patients in intensive care units is a dynamic process and reliable risk stratification models and prognostic markers are needed for this purpose. Novel prognostic indicators could serve as reliable diagnostic and prognostic tools in critically ill patients.

Anahtar Kelimeler

Kaynakça

  1. Greenberg SM, Ziai WC, Cordonnier C, et al. 2022 Guideline for the Management of Patients With Spontaneous Intracerebral Hemorrhage: A Guideline From the American Heart Association/American Stroke Association. Stroke. 2022;53(7):e282-e361.
  2. Wazir H, Abid M, Essani B, et al. Diagnosis and Treatment of Liver Disease: Current Trends and Future Directions. Cureus. 2023;15(12):e499-e522.
  3. Jentzer JC, Kashou AH, Murphree DH. Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit. Intelligence Based Medicine. 2023 ;7(1):89-100.
  4. Garduno A, Cusack R, Leone M, Einav S, Martin-Loeches I. Multi-Omics Endotypes in ICU Sepsis Induced Immunosuppression. Microorganisms. 2023;11(5): 11-19.
  5. Delahanty RJ, Kaufman D, Jones SS. Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients. Critical Care Medicine. 2018;46(6):e481-e488.
  6. Johnson AE, Ghassemi MM, Nemati S, et al. Machine Learning and Decision Support in Critical Care. Proceedings of the Institute of Electrical and Electronics Engineers. 2016;104(2):444-466.
  7. Koyner JL, Carey KA, Edelson DP, Churpek MM. The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Critical Care Medicine. 2018;46(7):1070-1077.
  8. Houthooft R, Ruyssinck J, van der Herten J, et al. Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. Artificial Intelligence in Medicine. 2015;63(3):191-207.

Ayrıntılar

Birincil Dil

İngilizce

Konular

İç Hastalıkları, Yoğun Bakım

Bölüm

Derleme

Yayımlanma Tarihi

14 Ekim 2024

Gönderilme Tarihi

28 Şubat 2024

Kabul Tarihi

13 Haziran 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 6 Sayı: 3

Kaynak Göster

APA
Karagöz, İ., Özer, B., & Aktas, G. (2024). The predictors of outcome in patients that require management in intensive care units: A narrative review. Hitit Medical Journal, 6(3), 367-378. https://doi.org/10.52827/hititmedj.1443663
AMA
1.Karagöz İ, Özer B, Aktas G. The predictors of outcome in patients that require management in intensive care units: A narrative review. Hitit Medical Journal. 2024;6(3):367-378. doi:10.52827/hititmedj.1443663
Chicago
Karagöz, İbrahim, Bahri Özer, ve Gulali Aktas. 2024. “The predictors of outcome in patients that require management in intensive care units: A narrative review”. Hitit Medical Journal 6 (3): 367-78. https://doi.org/10.52827/hititmedj.1443663.
EndNote
Karagöz İ, Özer B, Aktas G (01 Ekim 2024) The predictors of outcome in patients that require management in intensive care units: A narrative review. Hitit Medical Journal 6 3 367–378.
IEEE
[1]İ. Karagöz, B. Özer, ve G. Aktas, “The predictors of outcome in patients that require management in intensive care units: A narrative review”, Hitit Medical Journal, c. 6, sy 3, ss. 367–378, Eki. 2024, doi: 10.52827/hititmedj.1443663.
ISNAD
Karagöz, İbrahim - Özer, Bahri - Aktas, Gulali. “The predictors of outcome in patients that require management in intensive care units: A narrative review”. Hitit Medical Journal 6/3 (01 Ekim 2024): 367-378. https://doi.org/10.52827/hititmedj.1443663.
JAMA
1.Karagöz İ, Özer B, Aktas G. The predictors of outcome in patients that require management in intensive care units: A narrative review. Hitit Medical Journal. 2024;6:367–378.
MLA
Karagöz, İbrahim, vd. “The predictors of outcome in patients that require management in intensive care units: A narrative review”. Hitit Medical Journal, c. 6, sy 3, Ekim 2024, ss. 367-78, doi:10.52827/hititmedj.1443663.
Vancouver
1.İbrahim Karagöz, Bahri Özer, Gulali Aktas. The predictors of outcome in patients that require management in intensive care units: A narrative review. Hitit Medical Journal. 01 Ekim 2024;6(3):367-78. doi:10.52827/hititmedj.1443663

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